Latest AI News
Google I/O 2026: Gemini Omni Video Model Reportedly in Testing Ahead of Annual Developer Conference
Google may be preparing to expand Gemini's video generation capabilities with a new model called Gemini Omni. A fresh leak suggests the tool will let users create and edit AI-generated videos directly within Gemini. Early demos show the model producing more realistic motion, cleaner text rendering, and improved scene composition. The feature has not been announced officially, but its appearance ahead of Google I/O 2026 suggests Google could soon reveal new plans for AI-powered video creation.
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Indian Armed Forces Bet on Sarvam, CoRover.ai to Prepare for AI Warfare
As militaries worldwide race to integrate AI into warfare, India appears to be moving from experimentation toward building its own sovereign military AI ecosystem.
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Applied Materials, TSMC Deepen Chip Partnership for New Centre in Silicon Valley
The companies will jointly develop semiconductor technologies for AI scaling at Applied Materials’ EPIC research facility, which is scheduled to be operational this year.
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Indian Judiciary Goes Digital with AI Chatbot & Integrated Case Management System
The digital initiatives are aimed at improving transparency, coordination and citizen access as India’s judiciary accelerates its technology-driven reforms.
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LTTS, Emerson Partner for Engineering and Testing Solutions
The companies will set up a centre of excellence in Mysuru to support product engineering and testing automation.
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Toxic Work Culture Holds Back Microsoft, Amazon Employees From Indian Firms: Survey
A new survey from Blind eveals that workplace culture and burnout concerns are outweighing salary considerations for tech professionals evaluating Indian companies.
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India’s Monthly Tech Hiring Hits Pause While GCCs Grow 20%
GCCs continue expanding engineering teams even as fresher hiring and IT services recruitment slow down.
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SwishX Launches Agentic AI Platform for Pharmaceuticals & Medtech Companies
Based in Bengaluru, the startup provides AI-driven insights to help firms with marketing and distribution to global markets.
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TCS Partners With Resolve AI to Scale Agentic AI in Retail
Through the collaboration, TCS will integrate Rezolve AI’s proprietary Brainpowa platform into retail workflows to enable conversational shopping, intelligent product discovery and automated checkout.
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Mira Murati’s Startup Unveils Interaction Models for Real-Time Human-AI Collaboration
Thinking Machines Lab has developed a multi-stream, micro-turn design that allows the model to continuously receive and respond to information in real time.
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GM just laid off hundreds of IT workers to hire those with stronger AI skills
General Motors has laid off more than 10% of its IT department, or about 600 salaried employees — in a deliberate skills swap: clearing out workers whose expertise no longer fits and making room for some with AI-focused backgrounds. GM confirmed to TechCrunch that it had conducted layoffs; they were firstreportedby Bloomberg News. In an emailed statement, the automaker framed the layoffs as a means to prepare it for the future, without providing specifics. “GM is transforming its Information Technology organization to better position the company for the future,” the company said. These layoffs are not all permanent headcount reductions. A person familiar with the layoffs told TechCrunch that the company is still hiring people for roles in its IT department, but for different skills. The most sought-after capabilities are AI-native development, data engineering and analytics, cloud-based engineering, and agent and model development, prompt engineering, and new AI workflows. In practical terms, GM is looking for people who know how to build with AI from the ground up — designing the systems, training the models, and engineering the pipelines — not just use AI as a productivity tool. GM has laid off white-collar employees in several departments over the past 18 months, as it focuses its resources on high-priority initiatives, including AI. In August 2024, for example, the company cut about1,000 software workers. The software workforce has undergone significant change since Sterling Anderson — co-founder of the autonomous trucking startup Aurora and a veteran of the autonomous vehicle industry — was hired in May 2025 aschief product officer. Last November,three top executivesleft the company’s software team as Anderson pushed to consolidate GM’s disparate technology businesses into one organization: Baris Cetinok, senior vice president of software and services product management; Dave Richardson, senior vice president of software and services engineering; and Barak Turovsky, a former VP at Cisco who spent just nine months as GM’s chief AI officer. GM has since moved to fill the gap with new AI-focused hires. It hired Behrad Toghi, who previously worked at Apple, in October as AI lead. The company also brought on Rashed Haq as its vice president of autonomous vehicles. Haq spent five years at Cruise — the self-driving vehicle company acquired and later shuttered by GM — as its head of AI and robotics. For the industry, GM's restructuring is a signal of what enterprise AI adoption actually looks like in practice -- not just adding AI tools on top of existing teams, but deliberately rebuilding the workforce from the ground up. The specific capabilities it's hiring for -- agent development, model engineering, AI-native workflows -- point directly at where large-enterprise demand is heading.
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Thinking Machines wants to build an AI that actually listens while it talks
Thinking Machines Lab, the AI startup founded last year by former OpenAI CTO Mira Murati, on Monday announced something calledinteraction models, which, at its essence, sounds like AI that can interrupt you. Right now, every AI model you’ve ever used works the same way. You talk, it listens. It responds, you listen. Thinking Machines is trying to change that by building a model that processes your input and generates a response at the same time, so it’s more like a phone call than a text chain. The technical term for this is “full duplex,” and the company claims its model, TML-Interaction-Small, responds in 0.40 seconds, which is roughly the speed of natural human conversation and significantly faster than comparable models from OpenAI and Google. Still, this is a research preview, not a product. The company isn’t releasing it to the public yet. A “limited research preview” is coming in the next few months, it says, with a wider release set for later this year. So what to make of it? We’re not sure. Thebenchmarksare impressive and the underlying idea — that interactivity should be native to a model, not bolted on — is definitely interesting. Whether the real-world experience lives up to the technical claims is something we won’t know until people can actually use it.
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